A new hybrid gravitational search-teaching-learning-based optimization method for the solution of economic dispatch of power systems

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dc.contributor.authorTefek, Mehmet Fatih
dc.contributor.authorUguz, Harun
dc.date.accessioned2020-03-26T20:12:20Z
dc.date.available2020-03-26T20:12:20Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe economic dispatch problem (EDP) is a complex, constrained, and nonlinear optimization problem. In the EDP, the active power bus should operate between the minimum and maximum bus limits to minimize the fuel cost. In this study, a fast, efficient, and reliable hybrid gravitational search algorithm-teaching learning based optimization (GSA-TLBO) method was proposed for the purpose of solving the EDP in power systems. The proposed method separates the search space into two sections as global and local searching. In the first part, searching was carried out by GSA method effectively to form the second search space. In the second part, the optimum solution was sought in the local search space by the TLBO method. The proposed method was implemented to a constrained benchmark G01 problem. The proposed hybrid method was then applied to the constrained EDP in IEEE 30-bus and IEEE 57-bus test systems and Turkey's 22-bus power system to minimize the fuel cost. Obtained results were compared with other methods. Experimental results show that the proposed method results in shorter, more reliable, and efficient lowest fuel cost solutions. It has been found that the proposed method can be used to solve constrained optimization problems.en_US
dc.identifier.doi10.3906/elk-1712-390en_US
dc.identifier.endpage+en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2962en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1712-390
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37423
dc.identifier.volume27en_US
dc.identifier.wosWOS:000482742800042en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectHybrid optimization methoden_US
dc.subjectgravitational search algorithmen_US
dc.subjectteaching-learning-based optimization algorithmen_US
dc.subjecteconomic dispatchen_US
dc.subjectpower systemsen_US
dc.titleA new hybrid gravitational search-teaching-learning-based optimization method for the solution of economic dispatch of power systemsen_US
dc.typeArticleen_US

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